Abstract: Principal objective of image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images. The existing contrast enhancement algorithms such as local, global, partial, bright and dark contrast stretching, Adaptive HE techniques occasionally result in artifacts such as halo effects in sharp boundaries or noise effects and also over enhancement which results a spurious details of the image and unnatural effects in the processed images. These drawbacks increase for images taken under poor illumination conditions.